Ángel López García-Arias

19 papers A* 1A 1B 1C 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 B conf
Accelerating Graph Construction for MIPS without Search Accuracy Loss.
EDBT
Yasuhiro Fujiwara, Ángel López García-Arias, Yu Mitsuzumi, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Makoto Nakatsuji, Akisato Kimura
2026 — conf
Fast Vector Quantization Algorithm for ScaNN.
KDD (1)
Yasuhiro Fujiwara, Ángel López García-Arias, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Makoto Nakatsuji, Akisato Kimura
2025 J jnl
Partially Frozen Random Networks Contain Compact Strong Lottery Tickets.
Trans. Mach. Learn. Res.
Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025 J jnl
WhiteDwarf: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration.
IEEE Access
Ángel López García-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024 — conf
Exploiting N:M Sparsity in Quantized-Folded ResNets: Signed Multicoat Supermasks and Iterative Pruning-Quantization.
CANDAR
Akihiro Shioda, Ángel López García-Arias, Hikari Otsuka, Yuki Ichikawa, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024 J jnl
Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket.
CoRR
Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2024 J jnl
Pianissimo: A Sub-mW Class DNN Accelerator With Progressively Adjustable Bit-Precision.
IEEE Access
Junnosuke Suzuki, Jaehoon Yu, Mari Yasunaga, Ángel López García-Arias, Yasuyuki Okoshi, Shungo Kumazawa, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura
2024 J jnl
Restricted Random Pruning at Initialization for High Compression Range.
Trans. Mach. Learn. Res.
Hikari Otsuka, Yasuyuki Okoshi, Ángel López García-Arias, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024 — conf
WhiteDwarf: 12.24 TFLOPS/W 40 nm Versatile Neural Inference Engine for Ultra-Compact Execution of CNNs and MLPs Through Triple Unstructured Sparsity Exploitation and Triple Model Compression.
A-SSCC
Yasuyuki Okoshi, Ángel López García-Arias, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Thiem Van Chu, Kazushi Kawamura, Daichi Fujiki, Masato Motomura
2023 — conf
Amorphica: 4-Replica 512 Fully Connected Spin 336MHz Metamorphic Annealer with Programmable Optimization Strategy and Compressed-Spin-Transfer Multi-Chip Extension.
ISSCC
Kazushi Kawamura, Jaehoon Yu, Daiki Okonogi, Satoru Jimbo, Genta Inoue, Akira Hyodo, Ángel López García-Arias, Kota Ando, Bruno Hideki Fukushima-Kimura, Ryota Yasudo, Thiem Van Chu, Masato Motomura
2023 — conf
Multicoated and Folded Graph Neural Networks With Strong Lottery Tickets.
LoG
Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura
2023 J jnl
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets.
CoRR
Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura
2023 — conf
Pianissimo: A Sub-mW Class DNN Accelerator with Progressive Bit-by-Bit Datapath Architecture for Adaptive Inference at Edge.
VLSI Technology and Circuits
Junnosuke Suzuki, Jaehoon Yu, Mari Yasunaga, Ángel López García-Arias, Yasuyuki Okoshi, Shungo Kumazawa, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura
2023 J jnl
Recurrent Residual Networks Contain Stronger Lottery Tickets.
IEEE Access
Ángel López García-Arias, Yasuyuki Okoshi, Masanori Hashimoto, Masato Motomura, Jaehoon Yu
2022 — conf
Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet.
ISSCC
Kazutoshi Hirose, Jaehoon Yu, Kota Ando, Yasuyuki Okoshi, Ángel López García-Arias, Junnosuke Suzuki, Thiem Van Chu, Kazushi Kawamura, Masato Motomura
2022 A* conf
Multicoated Supermasks Enhance Hidden Networks.
ICML
Yasuyuki Okoshi, Ángel López García-Arias, Kazutoshi Hirose, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu
2021 A conf
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks.
BMVC
Ángel López García-Arias, Masanori Hashimoto, Masato Motomura, Jaehoon Yu
2021 J jnl
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks.
CoRR
Ángel López García-Arias, Masanori Hashimoto, Masato Motomura, Jaehoon Yu
2020 C conf
Low-Cost Reservoir Computing using Cellular Automata and Random Forests.
ISCAS
Ángel López García-Arias, Jaehoon Yu, Masanori Hashimoto